java.lang.Object
org.elasticsearch.xpack.core.ml.dataframe.evaluation.classification.Recall
All Implemented Interfaces:
NamedWriteable, Writeable, org.elasticsearch.xcontent.ToXContent, org.elasticsearch.xcontent.ToXContentObject, EvaluationMetric

public class Recall extends Object implements EvaluationMetric
Recall is a metric that answers the question: "What fraction of documents belonging to X have been predicted as X by the classifier?" for any given class X equation: recall(X) = TP(X) / (TP(X) + FN(X)) where: TP(X) - number of true positives wrt X FN(X) - number of false negatives wrt X